noise5060p - estimate of proportion of persons exposed to noise LAeq ≥50 to 60 dB.noise4050p - estimate of proportion of persons exposed to noise LAeq ≥45 to 50 dB.noise90n - estimate of number of persons exposed to noise LAeq ≥90 dB.noise8090n - estimate of number of persons exposed to noise LAeq ≥80 to 90 dB.noise7080n - estimate of number of persons exposed to noise LAeq ≥70 to 80 dB.noise6070n - estimate of number of persons exposed to noise LAeq ≥60 to 70 dB.noise5060n - estimate of number of persons exposed to noise LAeq ≥50 to 60 dB.noise4050n - estimate of number of persons exposed to noise LAeq ≥45 to 50 dB.coverage_90 - sum of the pixels in the ≥90 dB LAeq range for tract.coverage_8090 - sum of the pixels in the ≥80 to 90 dB LAeq range for tract.coverage_7080 - sum of the pixels in the ≥70 to 80 dB LAeq range for tract.coverage_6070 - sum of the pixels in the ≥60 to 70 dB LAeq range for tract. coverage_5060 - sum of the pixels in the ≥50 to 60 dB LAeq range for tract.coverage_4050 - sum of the pixels in the ≥45 to 50 dB LAeq range for tract (note it's 45 because that's the lower limit for BTS modeling).coverage_na - sum of the NA (missing) pixels for tract.coverage_all - sum of the coverage for tract.moe - 5-year (2016-2020) ACS tract margin of error for total population.estimate - 5-year (2016-2020) ACS tract estimate for total population.variable - ACS table variable name for total population (B01003_001).NAME - tract name from American Community Survey.Below are tract-level noise exposure map data for each state, from Seto and Huang, 2023 paper on the National Transportation Noise Exposure Map for the United States.Įach state file has the following variables:
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